Searching for hot subdwarf stars from the LAMOST Spectra. II. Pure spectroscopic identification method for hot subdwarfs
Searching for hot subdwarf stars from the LAMOST Spectra. II. Pure spectroscopic identification method for hot subdwarfs
复制标题
从 LAMOST 光谱中寻找炽热的亚矮星。
DOI：
10.1093/pasj/psz006
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发表时间：
2019
影响因子：
2.3
通讯作者：
Zhao Gang
中科院分区：
文献类型：
--
作者：
Lei Zhenxin;Bu Yude;Zhao Jingkun;Nemeth Peter;Zhao Gang
采用一种新的机器学习方法，命名为分层极端学习机（HELM）算法，我们确定了56个热亚矮星的大天区多目标光纤光谱望远镜（LAMOST）调查的第一次数据发布（DR 1）。用非定域热力学平衡（NLTE）模型大气计算的合成谱拟合氢（H）巴耳末线和氦（He）线的轮廓，得到恒星的大气参数。在我们的样品中发现了5颗log（nHe/nH）> -1的富He热亚矮星，51颗贫He sdB、sdO和sdOB星。我们还证实了Edelmann等人（2003）在Teff - log（nHe/nH）图中发现的两个热亚矮星的He序列。HELM算法直接作用于观察到的光谱，并且能够过滤掉光谱特性，无需补充光度数据。研究结果表明，经过适当的训练，HELM算法是一种可靠的搜索亚矮星的方法，也适用于搜索光谱或图像特征明显的其他天体。
Employing a new machine learning method, named hierarchical extreme learning machine (HELM) algorithm, we identified 56 hot subdwarf stars in the first data release (DR1) of the Large Sky Area Multi-Object Fibre Spectroscopic Telescope (LAMOST) survey. The atmospheric parameters of the stars are obtained by fitting the profiles of hydrogen (H) Balmer lines and helium (He) lines with synthetic spectra calculated from non-Local Thermodynamic Equilibrium (NLTE) model atmospheres. Five He-rich hot subdwarf stars were found in our sample with their log(nHe/nH) > -1 , while 51 stars are He-poor sdB, sdO and sdOB stars. We also confirmed the two He sequences of hot subdwarf stars found by Edelmann et al. (2003) in Teff - log(nHe/nH) diagram. The HELM algorithm works directly on the observed spectroscopy and is able to filter out spectral properties without supplementary photometric data. The results presented in this study demonstrate that the HELM algorithm is a reliable method to search for hot subdwarf stars after a suitable training is performed, and it is also suitable to search for other objects which have obvious features in their spectra or images.